Forgotten and Concealed: The Emblematic Cases of the Assyrian and Romani Genocides
Bibliographic record
Abstract
By exploring how the Assyrian and Romani genocides came to be forgotten in official history and collective memory, this paper takes a step towards redress for years of inadvertent neglect and deliberate concealment. In addressing the roles played by scholars and nations, and the effect of international law and government policy, it notes the inaccessibility of evidence, combined with a narrow application of definitions of victim groups, and a focus on written proof of perpetrator intent. Continuing persecution of survivors in the aftermath of the genocides, and government actions to erase the genocides from history, are common to both cases. The dimension of a comparative analysis between two emblematic “hidden” genocides shows that there are many similarities in the process of forgetting that occurred in their respective aftermaths. Developing an understanding of how these genocides came to be ignored and forgotten may provide a foundation for genuine acknowledgment and redress.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.039 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".